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Wavelet-based neural network approach to power quality disturbance recognition

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2 Author(s)
Kaewarsa, S. ; Sch. of Electr. Eng., Suranarce Univ. of Technol. ; Attakitmongcol, K.

This paper proposes a wavelet-based neural network classifier for recognizing power quality disturbances is implemented and tested under various transient events. The discrete wavelet transform technique is integrated with multiple neural networks using a learning vector quantization network as a powerful classifier. Various transient events are tested, the results show that the classifier can detect and classify different power quality disturbance types efficiency

Published in:

Power Engineering Conference, 2005. IPEC 2005. The 7th International

Date of Conference:

Nov. 29 2005-Dec. 2 2005